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March 7, 2024

Detection and classification of near-surface buried objects in GPR images with deep learning-based Faster R-CNN and YOLOv5 methods

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OAOrhan ApaydınTİTurgay İşseven

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Cite This Study

Apaydın et al. (2024) studied this question.

synapsesocial.com/papers/68e7556db6db6435876cd6adhttps://doi.org/10.5194/egusphere-egu24-382
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Detection of underground objects from GPR data using a lightweight YOLO-based approach2026
  2. 2A Novel Automatic Detection and Positioning Strategy for Buried Cylindrical Objects Based on B-Scan GPR Images2025
  3. 3Integrated Feature Investigation and Classification Methods for Discrimination of Subsurface Objects in GPR Imagery2024 · 5 citations
  4. 4A reinforcement learning (RL)-based hybrid method for ground penetrating radar (GPR)-driven buried object detection2024 · 12 citations
  5. 5Automatic Recognition of Category, Burial Depth, and Diameter for Underground Pipeline Using GPR Based on YOLOv12 and Machine Learning Algorithm2026